The integration of Artificial Intelligence (AI) and Big Data into library services represents a transformative shift in how information is managed, accessed, and delivered. This research paper explores the applications, challenges, and future prospects of these technologies in academic and public libraries. Drawing from a systematic review of recent literature, the paper highlights key areas such as personalized recommendations, automated cataloging, data analytics for user behavior, and enhanced reference services. AI tools like machine learning algorithms and chatbots are revolutionizing user interactions, while Big Data enables libraries to process vast amounts of information for better decision-making. However, issues such as privacy concerns, ethical implications, and the digital divide pose significant challenges. Through bibliometric analysis and case studies, this paper demonstrates an upward trend in AI adoption, with publications increasing from 2018 to 2023. Graphs and charts illustrate adoption rates and research trends, underscoring the potential for improved efficiency and user satisfaction. The findings suggest that libraries must invest in training and infrastructure to harness these technologies fully, paving the way for smart libraries in the digital era. This study contributes to the discourse by providing a comprehensive overview and recommendations for future research
Mr. Datta Sopanrao Solanke (Fri,) studied this question.